Data Centric Molecular Analysis and Evaluation of Hepatocellular Carcinoma Therapeutics Using Machine Intelligence-Based Tools.

Journal: Journal of gastrointestinal cancer
Published Date: Dec 15, 2021

Abstract

PURPOSE: Computational approaches have been used at different stages of drug development with the purpose of decreasing the time and cost of conventional experimental procedures. Lately, techniques mainly developed and applied in the field of artificial intelligence (AI), have been transferred to different application domains such as biomedicine.

Authors

  • Rengul Cetin-Atalay
    CanSyL, Graduate School of Informatics, Middle East Technical University, Ankara, 06800, Turkey.
  • Deniz Cansen Kahraman
    Cancer Systems Biology Laboratory, Graduate School of Informatics, METU, Ankara, 06800, Turkey. cansen@metu.edu.tr.
  • Esra Nalbat
    Cancer Systems Biology Laboratory, Graduate School of Informatics, METU, Ankara, 06800, Turkey.
  • Ahmet Sureyya Rifaioglu
    Department of Computer Engineering, Middle East Technical University, Ankara, 06800, Turkey.
  • Ahmet Atakan
    Department of Computer Engineering, METU, Ankara, 06800, Turkey.
  • Ataberk Donmez
    Department of Computer Engineering, METU, Ankara, 06800, Turkey.
  • Heval Atas
    Cancer System Biology Laboratory (CanSyL), Graduate School of Informatics, Middle East Technical University, Ankara, Turkey.
  • M Volkan Atalay
    Cancer Systems Biology Laboratory, Graduate School of Informatics, METU, Ankara, 06800, Turkey.
  • Aybar C Acar
    Cancer Systems Biology Laboratory, Graduate School of Informatics, METU, Ankara, 06800, Turkey.
  • Tunca Doğan
    European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, Cambridge, UK.

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